AI has a role to play in trying to prevent crime, but how much control should we give our robo cops?
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Articles on Artificial intelligence (AI)
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Big data and algorithmic applications could transform how our legal institutions work, but the digital revolution must keep the needs of judges, attorneys and especially citizens at its heart.
AI seems able to answer questions at the heart of humanitarianism – questions such as who we should save, and how to be effective at scale.
Europe loses as many trees to storms each year as Poland produces in timber. Until now, the models for predicting which trees are at risk have not been good enough.
Artificial intelligence will transform universities. Here’s how.
2001: A Space Odyssey’s sentient computer will only ever be a work of science fiction, says a cognitive neuroscientist.
The report of the mathematician and deputy of Essonne Cédric Villani renders his report on artificial intelligence today.
It’s time programmers looked out old computer text adventures like Zork and Colossal Cave from the 1970s and 1980s.
Humans are already imposing our barely understood sexual ethic upon machines.
The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.
From predicting suicide risk to chatbot therapy, artificial intelligence is all the rage in suicide prevention. The question is, can it really work?
A branch of AI research promises to deliver computers that evolve their own software but the tech industry has yet to catch on.
It isn’t that we should worry about AI becoming more human. We should fear ourselves becoming more artificial.
Spot removes traditional barriers to reporting abusive behavior, because participants can log incidents without talking to a human.
Despite his fears artificial intelligence might one day overtake humanity, Stephen Hawking knew from his own life how profoundly AI could improve humans’ daily lives.
The biggest mobile technology showcase of the year wrapped up in Barcelona yesterday. We took a look at some of the highlights.
Artificial intelligence is likely to reinforce or even amplify gender inequality because the data used to train machines is biased.
Machine learning isn’t reliable enough yet – and it’s short-sighted to only train this detection tech on jihadi content.
Canada has a clear choice. Either it embraces the potential of being a leader in responsible AI, or it risks legitimating a race to the bottom where ethics, inequity and justice are absent.
When we include someone (or something) in our moral circle we feel a sense of moral obligation for their treatment. But the factors determining who is in or out are more complicated than you may think.
Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor, Queensland University of Technology
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Assistant Professor, Psychology, Concordia University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Lecturer in Business Analytics, University of Sydney
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
